consolidate_model: Consolidate model settings to a complete caret model...

In smaakage85/modelgrid: A Framework for Creating, Managing and Training Multiple Caret Models

Description

Consolidate model (and model training) settings from shared and model specific settings to one complete caret model specification. In case there is an overlap between the two, the model specific settings will apply.

Usage

consolidate_model(shared_settings, model)

Arguments

shared_settings	list, settings that are shared by all models by default.
model	list, the individual specifications of a model in a model grid.

Value

list, a complete model and training specification, that can be trained with caret.

Examples

library(magrittr)
library(dplyr)
library(caret)

# create model grid.
mg <-
  model_grid() %>%
  share_settings(y = iris[["Species"]],
                 x = iris %>% select(-Species),
                 trControl = trainControl()) %>%
  add_model("FunkyForest", method = "rf",
            preProc = c("center", "scale", "pca"),
            custom_control = list(preProcOptions = list(thresh = 0.8)))

# consolidate all settings to complete caret model specification.
consolidate_model(mg$shared_settings, mg$models$FunkyForest)

smaakage85/modelgrid documentation built on May 30, 2019, 12:48 p.m.